Running in Production A Site to View 3D Scans of Cars with Twinner
Jul 16, 2020
46:35
In this episode of Running in Production, Jesse Hunt talks about building a site with Django that lets you view 3D scans of cars with Twinner. It’s hosted on 2 Heroku hobby Dynos and has been up and running in production since January 2020.
Jesse talks about building a few MVPs for his client, getting everything together in ~1k lines of Python code and using Heroku to avoid having to do a bunch of sysadmin work.
Topics Include
- 3:34 – Building 3 different MVPs in 6 months to satisfy his client’s needs
- 6:33 – Motivation for using Django, how the 3D model viewer works and GDPR compliance
- 12:52 – It’s a monolithic app that runs on 2 Heroku Dynos and it uses Celery
- 16:42 – The app it about ~1k lines of Python code and uses Material Design Lite
- 21:24 – Docker is being used in development and production and Jesse likes it
- 24:47 – Both Heroku Dynos are the hobby (paid) tier with the free tiers of Postgres and Redis
- 33:13 – Database backups are run through Celery’s periodic tasks with django-dbbackup
- 34:54 – The deploy process from dev to prod when using Heroku
- 40:06 – Best tips? Try to learn best practices when you can from podcasts, books, courses, etc.
- 45:45 – Check out Jesse’s consultancy’s site at https://www.creon-it.de/
Links
📄 References
- https://docs.djangoproject.com/en/3.0/topics/class-based-views/
- https://getmdl.io/
- https://djangochat.com/
⚙️ Tech Stack
🛠 Libraries Used
- https://github.com/pennersr/django-allauth
- https://github.com/evansd/whitenoise
- https://github.com/celery/celery
- https://gunicorn.org/
- https://github.com/django-dbbackup/django-dbbackup
- https://github.com/pytest-dev/pytest
Support the Show
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